A sparse regularization approach for ultrafast ultrasound imaging
Details
Serval ID
serval:BIB_DBD66C1B6467
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
A sparse regularization approach for ultrafast ultrasound imaging
Title of the conference
IEEE International Ultrasonics Symposium
Address
21-24 Oct. 2015, Taipei
Publication state
Published
Issued date
2015
Language
english
Notes
EPFL-CONF-211217
Abstract
Ultrafast imaging based on plane-wave (PW) insonification is an active area of research due to its capability of reaching high frame rates. Several approaches have been proposed either based on either of Fourier-domain reconstruction or on delay-and-sum (DAS) reconstruction. Using a single PW, these techniques achieve low quality, in terms of resolution and contrast, compared to the classic DAS method with focused beams. To overcome this drawback, compounding of several steered PWs is needed, which currently decreases the high frame rate limit that could be reached by such techniques. Based on a compressed sensing (CS) framework, we propose a new method that allows the reconstruction of high quality ultrasound (US) images from only 1 PW at the expense of augmenting the computational complexity at the reconstruction.
Keywords
Ultrasound imaging, Ultrafast imaging, Compressed sensing
Create date
27/11/2015 14:22
Last modification date
20/08/2019 16:00